8 Code Patterns That Can Spike Your CPU to 100%
The article enumerates eight common coding practices—such as fetching massive data at once, using Kafka auto‑acknowledgement, infinite loops, aggressive multithreaded imports, bulk file synchronization, deadlocks, poorly designed regexes, and heavy real‑time calculations—that can cause Java services to hit 100% CPU usage, explaining the underlying mechanisms like full GC, thread‑context switching, and NFA backtracking.
